Deciphering the transcriptional and epigenetic complexity of parasitic interaction

The Inter-ACTION project aims to integrate multi-omic transcriptional and epigenetic data down to the single-cell level in order to create an interactive atlas of gene regulatory networks. It focuses on a major agronomic challenge: the parasitic interaction between root-knot nematodes and tomato plants.
In infested soils, these microscopic worms infect the roots of their hosts, causing substantial yield losses in vegetable crops worldwide. Inter-ACTION seeks to build a comprehensive understanding of parasitism by decoding the regulation of gene expression in both the parasite and its host. The goal is to shed light on gene regulatory networks by considering both sides of the interaction and to identify, at the genomic and single-cell scales, the regulatory regions involved in the reprogramming of gene expression during parasitism.
We will monitor how gene regulation evolves between the two organisms during their interaction. Using single nucleus approaches, we will create an interactive transcriptomic atlas that captures tissue and cell level details. Ultimately, this project will identify the key molecular players involved in successful parasitism, opening new avenues for crop protection and control strategies.

Project Leader

Julia Truch
Institut Sophia Agrobiotech (ISA)
UMR INRAE 1355, Université Côte d'Azur, CNRS 7254
400 route des Chappes, BP167
06903 Sophia Antipolis, France.
 

Participants

  • Carole Belliardo. Engineer, MSI – Center of Modeling, Simulation, and Interactions, Université Côte d'Azur.
  • Cyril Van Ghelder. Engineer, Institut Sophia Agrobiotech.
  • Bruno Favery. Research Director, Institut Sophia Agrobiotech.
Tomato gene networks. Visualization of nuclei within root-knot nematodes. Single-nucleus transcriptomic atlas.
Tomato gene networks. Visualization of nuclei within root-knot nematodes. Single-nucleus transcriptomic atlas. Tomato gene networks. Visualization of nuclei within root-knot nematodes. Single-nucleus transcriptomic atlas.